YC-Bench: Can Your AI Agent Run a Startup Without Going Bankrupt?
collinear-ai
• • 7 Datasets:
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YC-Bench
Long-horizon agent benchmark. The LLM plays CEO of an AI startup for 1 simulated year via CLI tool use against a deterministic discrete-event simulation.
Tests: employee allocation, prestige specialization, cash flow, deadline risk, adversarial client detection — sustained over hundreds of turns.
Source: github.com/collinear-ai/yc-bench
Evaluation
Download run_yc_bench_job.py from this repo, then:
hf jobs uv run run_yc_bench_job.py \
--flavor cpu-basic --timeout 3h \
--secrets OPENAI_API_KEY \
-- openai/gpt-5.4
Or run locally: uv run run_yc_bench_job.py openai/gpt-5.4
Runs medium preset on seeds 1-3 and reports average final funds. Pass the appropriate --secrets flag for your provider (ANTHROPIC_API_KEY, OPENROUTER_API_KEY, etc). Any LiteLLM-compatible model string works.
Scoring
Average final funds (USD) across seeds 1, 2, 3. Bankrupt = $0.
score = average(max(0, final_funds_cents / 100) for each seed)
Submitting to leaderboard
Open a PR on the model's HF repo adding .eval_results/yc-bench.yaml. See sample_eval_result.yaml in this repo for the format.
License
Apache 2.0
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